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ThreatAnalyzer.cs
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ThreatAnalyzer.cs
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using Microsoft.ML;
using Microsoft.ML.Data;
using System;
using System.IO;
using System.Threading.Tasks;
using Microsoft.Extensions.Caching.Memory;
namespace ArtemisSecurity
{
public class ThreatAnalyzer
{
private readonly MLContext mlContext;
private ITransformer trainedModel;
private PredictionEngine<ThreatData, ThreatPrediction> predictionEngine;
private readonly IMemoryCache modelCache;
public ThreatAnalyzer(IMemoryCache cache)
{
mlContext = new MLContext(seed: 0);
modelCache = cache;
}
public async Task InitializeAsync()
{
await TrainModelAsync();
}
public void PreformVisualAnalysis()
{
ArtemisVision.CaptureAndAnalyzeScreen();
}
private async Task TrainModelAsync()
{
if (!modelCache.TryGetValue("TrainedModel", out trainedModel))
{
var dataPath = Path.Combine(Environment.CurrentDirectory, "threat_data.csv");
var dataView = mlContext.Data.LoadFromTextFile<ThreatData>(dataPath, separatorChar: ',', hasHeader: true);
var dataPipeline = mlContext.Transforms.Conversion.MapValueToKey("ThreatType", nameof(ThreatData.ThreatType))
.Append(mlContext.Transforms.Categorical.OneHotEncoding("ThreatTypeEncoded", "ThreatType"))
.Append(mlContext.Transforms.Concatenate("Features", "ThreatLevel", "ThreatTypeEncoded"))
.Append(mlContext.Transforms.NormalizeMinMax("Features"))
.Append(mlContext.BinaryClassification.Trainers.SdcaLogisticRegression(labelColumnName: nameof(ThreatData.IsCritical), featureColumnName: "Features"));
trainedModel = await Task.Run(() => dataPipeline.Fit(dataView));
modelCache.Set("TrainedModel", trainedModel, TimeSpan.FromHours(24));
}
predictionEngine = mlContext.Model.CreatePredictionEngine<ThreatData, ThreatPrediction>(trainedModel);
}
public async Task LogAndAnalyzeThreat(string threatName, float threatLevel)
{
if (predictionEngine == null)
{
await InitializeAsync();
}
var prediction = PredictThreat(threatName, threatLevel);
if (prediction.PredictedIsCritical)
{
Console.WriteLine($"Critical threat detected: {threatName}. Taking action.");
ImplementAdvancedProtection(threatName, threatLevel);
}
else
{
Console.WriteLine($"Potential threat detected: {threatName}. Monitoring and learning.");
LearnFromThreat(threatName, threatLevel);
}
}
private void LearnFromThreat(string threatName, float threatLevel)
{
Console.WriteLine($"Learning from threat: {threatName}, Level: {threatLevel}");
// Update the threat model
UpdateThreatModel(threatName, threatLevel);
// Check for similar window titles
DetectSimilarWindows(threatName);
}
private void UpdateThreatModel(string threatName, float threatLevel)
{
// Add or update the threat in the model
var threatData = new ThreatData
{
ThreatLevel = threatLevel,
ThreatType = threatName,
IsCritical = threatLevel > 0.5f
};
// Update the CSV file
string csvPath = Path.Combine(Environment.CurrentDirectory, "threat_data.csv");
using (var writer = new StreamWriter(csvPath, true))
{
writer.WriteLine($"{threatData.ThreatLevel},{threatData.ThreatType},{threatData.IsCritical}");
}
// Retrain the model
TrainModelAsync().Wait();
}
private void DetectSimilarWindows(string threatName)
{
var similarWindows = ProcessMonitor.GetSimilarWindowTitles(threatName);
foreach (var window in similarWindows)
{
Console.WriteLine($"Potential RE tool detected: {window}");
UpdateThreatModel(window, 0.8f); // Consider similar windows as high threats
}
}
public List<(string Name, float Level)> MonitorAndLogProcesses()
{
var detectedThreats = new List<(string Name, float Level)>();
bool detected = ProcessMonitor.DetectBlacklistedProcesses(this, detectedThreats);
if (!detected)
{
Console.WriteLine("No blacklisted processes detected.");
}
return detectedThreats;
}
private void ImplementAdvancedProtection(string threatName, float threatLevel)
{
LogThreatDetails(threatName, threatLevel);
IsolateAffectedSystems();
BlockMaliciousIPs();
UpdateFirewallRules();
ScanForVulnerabilities();
ApplySecurityPatches();
NotifySecurityTeam(threatName, threatLevel);
InitiateDataBackup();
MonitorSystemActivities();
Console.WriteLine("Advanced protection measures implemented.");
}
private void LogThreatDetails(string threatName, float threatLevel)
{
Console.WriteLine($"Logging threat details - Name: {threatName}, Level: {threatLevel}");
// Implement actual logging mechanism (e.g., to a file or database)
}
private void IsolateAffectedSystems()
{
Console.WriteLine("Isolating affected systems...");
// Implement system isolation logic
}
private void BlockMaliciousIPs()
{
Console.WriteLine("Blocking malicious IP addresses...");
// Implement IP blocking logic
}
private void UpdateFirewallRules()
{
Console.WriteLine("Updating firewall rules...");
// Implement firewall rule updates
}
private void ScanForVulnerabilities()
{
Console.WriteLine("Scanning for vulnerabilities...");
// Implement vulnerability scanning
}
private void ApplySecurityPatches()
{
Console.WriteLine("Applying security patches...");
// Implement security patching
}
private void NotifySecurityTeam(string threatName, float threatLevel)
{
Console.WriteLine($"Notifying security team about the threat: {threatName}, Level: {threatLevel}");
// Implement security team notification
}
private void InitiateDataBackup()
{
Console.WriteLine("Initiating data backup...");
// Implement data backup initiation
}
private void MonitorSystemActivities()
{
Console.WriteLine("Monitoring system activities...");
// Implement system activity monitoring
}
private ThreatPrediction PredictThreat(string threatName, float threatLevel)
{
if (predictionEngine == null)
{
throw new InvalidOperationException("Prediction engine is not initialized. Call InitializeAsync() before making predictions.");
}
var threatData = new ThreatData
{
ThreatLevel = threatLevel,
ThreatType = threatName
};
return predictionEngine.Predict(threatData);
}
}
public class ThreatData
{
[LoadColumn(0)]
public float ThreatLevel { get; set; }
[LoadColumn(1)]
public string ThreatType { get; set; }
[LoadColumn(2)]
public bool IsCritical { get; set; }
}
public class ThreatPrediction
{
[ColumnName("PredictedLabel")]
public bool PredictedIsCritical { get; set; }
}
}